Writing python programs to map alleles related to genetic disease.

Area of Science:

• Computational Biology
• Genetics
• Bioinformatics

Background:

• Biology increasingly relies on data analysis and computational tools.
• Integrating programming into biology curricula is essential for modern scientific training.
• Distance learning requires adaptable and engaging educational activities.

Purpose of the Study:

• To describe an introductory programming activity for biology students.
• To facilitate the identification of disease-linked alleles using Python.
• To support distance learning environments with experiential learning.

Main Methods:

• Students develop Python programs to analyze genetic data.
• The activity focuses on identifying the nature of alleles linked to specific diseases.
• Provided datasets include mapped alleles for the CFTR and HFE genes.

Main Results:

• The activity effectively engages students in problem-solving.
• Students apply basic programming skills to biological questions.
• The exercise enhances comprehension of eukaryotic gene structure.

Conclusions:

• This experiential programming activity is suitable for distance learning.
• It provides a practical approach to learning computational biology and genetics.
• The provided resources allow for modifications and further student exercises.